Historical document classified storage method based on big data analysis

A technology of historical documents and big data, applied in the field of big data analysis, can solve problems such as searching trouble, reducing work efficiency, wasting staff time, etc., to achieve the effect of reducing work efficiency, saving time, and preventing borrowing disorder

Active Publication Date: 2019-07-05
段崇楷
View PDF13 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention solves the problem that the existing historical documents are all preserved by some professional knowledge, and there are many kinds of classification and preservation of historical documents, but the general preservation system is simply to preserve historical documents, which is very troublesome and wasteful to search. Staff time, reduced work efficiency, technical issues;

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Historical document classified storage method based on big data analysis
  • Historical document classified storage method based on big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] Such as figure 1 As shown, a method for classifying and storing historical documents based on big data analysis, including a data receiving module, a data sorting module, a processor, a browsing module, a document status query module, a borrowing module, a storage module, an update module and a backup module;

[0054] Wherein, the data receiving module is used to receive document information input by employees, and the document information includes document name, document initial letter and document storage time, and the data receiving module transmits document information to the data sorting module, and the The data sorting module is used to classify and organize the document information transmitted by the data receiving module;

[0055] Wherein, the data sorting module transmits the sorted document information to the processor, and the processor receives the document information transmitted by the data sorting module and transmits it to the storage module, and the sto...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a historical document classified storage method based on big data analysis. A device involved by the method comprises a data receiving module, a data sorting module, a processor, a browsing module, a document state query module, a borrowing module, a storage module, an updating module and a backup module, wherein the data receiving module is used for receiving document information input by employees; the document information comprises document names, document initial letters and document storage time; the data receiving module transmits the document information into thedata arrangement module; the data arrangement module is used for classifying and arranging the document information transmitted by the data receiving module. Through the arrangement of the storage module, the updating module and the backup module, the storage of document information, the replacement of updated document information and backup of the document information are facilitated, the storage repetition, the document information backup disorder and the waste of rearrangement time of the workers are prevented, and the working efficiency is reduced.

Description

technical field [0001] The invention belongs to the technical field of big data analysis, and relates to a method for classifying and storing documents, in particular to a method for classifying and storing historical documents based on big data analysis. Background technique [0002] China is an ancient civilization with a long history. On the vast land of 9.6 million square kilometers, the people of Daxi for more than 2 million years have taken a solid step in the history of China. For millions of years, our ancestors lived in China This beautiful and rich land has created a splendid history and culture. Now anthropology and archaeology have proved with incomparably rich results that Chinese civilization can no longer be summed up by "five thousand years". The millennium is much longer. The earliest known pottery in our country was born in many primitive cultures in Hebei, Henan, and Jiangxi more than 8,000 years ago. It represents the advanced forms of human culture, such...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/13
CPCY02D10/00
Inventor 段崇楷
Owner 段崇楷
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products